Graduate Courses

Term Schedule

Fall 2019

Number	Title	Instructor	Time
BCS 510 (CSP 504) DATA ANALYSIS I ZUCKERMAN M TR 9:00AM - 10:55AM
Issues of data analysis in experimental research. The course focuses on parametric techniques, specifically analysis of variance. Topics covered include simple and complex designs for between and within subjects factors, including mixed designs; analysis of covariance and trend and contrasts. The course includes a lab in which students are taught to use a popular statistical package for data analysis BUILDING: MEL \| ROOM: 474
BCS 511 BEHAVIORAL METHODS IN COGNITIVE SCIENCE – –
This course reviews the leading methods used to investigate cognitive skills and/or their neural substrate in humans. The course is divided into several sections: accuracy and psychophysics; RT and processing states; interference, neighborhood effects and system dynamics; investigations of natural data; brain imaging methods as applied to the cognitive sciences; and issues when studying special populations such as infants, patients, animals or any non-compliant subject. Technical articles on each technique are discussed in combination with specific illustrations of how each has been used to investigate research questions. BUILDING: \| ROOM: Course Information
BCS 513 INTRO TO fMRI: IMAGING, COMPUTATIONAL ANALYSIS, & NEURAL REPRESENTATIONS RAIZADA R –
The core focus of the course will be on how fMRI can be used to ask questions about neural representations and cognitive and perceptual information processing. Some of the questions that the course will address include: 1) The basic fMRI signal just shows activation in different parts of the brain. How can we get from that to addressing questions about neural representations and neural information processing? 2) Ways of relating neural activation to behavioural performance. Can fMRI provide information over and above what can be obtained from behaviour alone? 3) Standard fMRI analysis using the General Linear Model, including preprocessing steps. 4) Multivariate fMRI analysis using machine learning approaches. There will also be a component, about 20% of the class, on the big-picture aspects of MRI physics and physiology which make fMRI possible. BUILDING: \| ROOM: PREREQUISITES: Prior programming experience (esp. Matlab) recommended. Course Information
BCS 528 (BCS 528) SPECIAL TOPICS IN VISION TADIN D –
Advanced graduate seminar on a chose problem in vision sciences. In previous years, topics have included motion perception, stereopsis, color vision and visuo-motor control. Readings for the course are drawn from the scientific literature in the topic being covered. Students are typically required to lead discussions on papers. BUILDING: \| ROOM:
BCS 530 (DSC 530) METHODS IN DATA-ENABLED RESEARCH INTO HUMAN BEHAVIOR AND ITS COGNITIVE AND NEURAL MECHANISMS JACOBS R MW 10:25AM - 11:40AM
This course provides a hand-on introduction to experimental and analytical methods in cognitive science and artificial intelligence. Each year, it offers three modules from a rotating list, including topics such as brain imaging, computational linguistics, and computer vision. The course is open to graduate students in any discipline. The course is recommended for who intend to pursue research in the the intersection of cognitive science and computer science, but prior experience in those fields is not required. It is required for students supported by the BCS/CS NRT graduate training grant. The modules are on Bayesian neuroscience, computational models in cognitive science, and natural language dialog systems. BUILDING: MEL \| ROOM: 269 PREREQUISITES: none
BCS 542 (BCS 242) NEUROPSYCHOLOGY MARTINEZ A TR 3:25PM - 4:40PM
Examines clinical neuropsychology, which bridges neurology, neuroscience, and clinical psychology. Covers history of clinical neuropsychology, principles of neuropsychological assessment, and the interpretation of cognition and behavior as they relate to brain dysfunction. Considers specific neurological syndromes including neurodegenerative, cerebrovascular, toxic, and memory disorders; epilepsy; head trauma; infectious processes; pediatric neuropsychology; psychiatric syndromes; and forensic neuropsychology. Patient presentations (videotape and in-person interviews) supplement lectures. BUILDING: MEL \| ROOM: 203 PREREQUISITES: BCS 110 or BCS 240 (NSC 201) or permission of instructor
BCS 543 (NSC 243) NEUROCHEMICAL FOUNDATIONS OF BEHAVIOR MILLER R MWF 10:25AM - 11:15AM
Introduces the field of neurochemistry with an emphasis on cellular and molecular neurochemistry. Topics range from study of neurochemical mechanisms that underlie normal neural function to discussion of behavioral disturbances that result from neurochemical abnormalities. Considers neurochemical mechanisms of adaptive behavior, learning and memory, behavioral disorders, gender differences, and drug seeking behavior. BUILDING: LCHAS \| ROOM: 141 PREREQUISITES: BCS 240 (NSC 201); BIO 250 recommended
BCS 591 PHD READINGS – –
No description BUILDING: \| ROOM:
BCS 595 PHD RESEARCH – –
No description BUILDING: \| ROOM:
BCS 595A PHD RESEARCH IN ABSENTIA – –
No description BUILDING: \| ROOM:
BCS 598 SUPERVISED TEACHING ASSISTANT – –
No description BUILDING: \| ROOM:
BCS 895 CONT OF MASTER'S ENROLLMENT – –
No description BUILDING: \| ROOM:
BCS 985 LEAVE OF ABSENCE – –
No description BUILDING: \| ROOM:
BCS 986V FULL TIME VISITING STUDENT – –
No description BUILDING: \| ROOM:
BCS 995 CONT OF DOCTORAL ENROLLMENT – –
No description BUILDING: \| ROOM:
BCS 997 DOCTORAL DISSERTATION – –
No description BUILDING: \| ROOM:
BCS 997A DOCTORAL DISSERTATION IN ABSENTIA – –
No description BUILDING: \| ROOM:
BCS 999 DOCTORAL DISSERTATION – –
No description BUILDING: \| ROOM:
BCS 999A DOCTORAL DISSERTATION IN ABSENTIA – –
No description BUILDING: \| ROOM:
BCS 999B PHD IN-ABSENTIA ABROAD – –
No description BUILDING: \| ROOM:

Number	Title	Instructor	Time
Monday and Wednesday
BCS 530 (DSC 530) METHODS IN DATA-ENABLED RESEARCH INTO HUMAN BEHAVIOR AND ITS COGNITIVE AND NEURAL MECHANISMS JACOBS R MW 10:25AM - 11:40AM
This course provides a hand-on introduction to experimental and analytical methods in cognitive science and artificial intelligence. Each year, it offers three modules from a rotating list, including topics such as brain imaging, computational linguistics, and computer vision. The course is open to graduate students in any discipline. The course is recommended for who intend to pursue research in the the intersection of cognitive science and computer science, but prior experience in those fields is not required. It is required for students supported by the BCS/CS NRT graduate training grant. The modules are on Bayesian neuroscience, computational models in cognitive science, and natural language dialog systems. BUILDING: MEL \| ROOM: 269 PREREQUISITES: none
Monday, Wednesday, and Friday
BCS 543 (NSC 243) NEUROCHEMICAL FOUNDATIONS OF BEHAVIOR MILLER R MWF 10:25AM - 11:15AM
Introduces the field of neurochemistry with an emphasis on cellular and molecular neurochemistry. Topics range from study of neurochemical mechanisms that underlie normal neural function to discussion of behavioral disturbances that result from neurochemical abnormalities. Considers neurochemical mechanisms of adaptive behavior, learning and memory, behavioral disorders, gender differences, and drug seeking behavior. BUILDING: LCHAS \| ROOM: 141 PREREQUISITES: BCS 240 (NSC 201); BIO 250 recommended
Tuesday and Thursday
BCS 510 (CSP 504) DATA ANALYSIS I ZUCKERMAN M TR 9:00AM - 10:55AM
Issues of data analysis in experimental research. The course focuses on parametric techniques, specifically analysis of variance. Topics covered include simple and complex designs for between and within subjects factors, including mixed designs; analysis of covariance and trend and contrasts. The course includes a lab in which students are taught to use a popular statistical package for data analysis BUILDING: MEL \| ROOM: 474
BCS 542 (BCS 242) NEUROPSYCHOLOGY MARTINEZ A TR 3:25PM - 4:40PM
Examines clinical neuropsychology, which bridges neurology, neuroscience, and clinical psychology. Covers history of clinical neuropsychology, principles of neuropsychological assessment, and the interpretation of cognition and behavior as they relate to brain dysfunction. Considers specific neurological syndromes including neurodegenerative, cerebrovascular, toxic, and memory disorders; epilepsy; head trauma; infectious processes; pediatric neuropsychology; psychiatric syndromes; and forensic neuropsychology. Patient presentations (videotape and in-person interviews) supplement lectures. BUILDING: MEL \| ROOM: 203 PREREQUISITES: BCS 110 or BCS 240 (NSC 201) or permission of instructor
TBA
BCS 511 BEHAVIORAL METHODS IN COGNITIVE SCIENCE – –
This course reviews the leading methods used to investigate cognitive skills and/or their neural substrate in humans. The course is divided into several sections: accuracy and psychophysics; RT and processing states; interference, neighborhood effects and system dynamics; investigations of natural data; brain imaging methods as applied to the cognitive sciences; and issues when studying special populations such as infants, patients, animals or any non-compliant subject. Technical articles on each technique are discussed in combination with specific illustrations of how each has been used to investigate research questions. BUILDING: \| ROOM: Course Information
BCS 513 INTRO TO fMRI: IMAGING, COMPUTATIONAL ANALYSIS, & NEURAL REPRESENTATIONS RAIZADA R –
The core focus of the course will be on how fMRI can be used to ask questions about neural representations and cognitive and perceptual information processing. Some of the questions that the course will address include: 1) The basic fMRI signal just shows activation in different parts of the brain. How can we get from that to addressing questions about neural representations and neural information processing? 2) Ways of relating neural activation to behavioural performance. Can fMRI provide information over and above what can be obtained from behaviour alone? 3) Standard fMRI analysis using the General Linear Model, including preprocessing steps. 4) Multivariate fMRI analysis using machine learning approaches. There will also be a component, about 20% of the class, on the big-picture aspects of MRI physics and physiology which make fMRI possible. BUILDING: \| ROOM: PREREQUISITES: Prior programming experience (esp. Matlab) recommended. Course Information
BCS 528 (BCS 528) SPECIAL TOPICS IN VISION TADIN D –
Advanced graduate seminar on a chose problem in vision sciences. In previous years, topics have included motion perception, stereopsis, color vision and visuo-motor control. Readings for the course are drawn from the scientific literature in the topic being covered. Students are typically required to lead discussions on papers. BUILDING: \| ROOM:
BCS 591 PHD READINGS – –
No description BUILDING: \| ROOM:
BCS 595 PHD RESEARCH – –
No description BUILDING: \| ROOM:
BCS 595A PHD RESEARCH IN ABSENTIA – –
No description BUILDING: \| ROOM:
BCS 598 SUPERVISED TEACHING ASSISTANT – –
No description BUILDING: \| ROOM:
BCS 895 CONT OF MASTER'S ENROLLMENT – –
No description BUILDING: \| ROOM:
BCS 985 LEAVE OF ABSENCE – –
No description BUILDING: \| ROOM:
BCS 986V FULL TIME VISITING STUDENT – –
No description BUILDING: \| ROOM:
BCS 995 CONT OF DOCTORAL ENROLLMENT – –
No description BUILDING: \| ROOM:
BCS 997 DOCTORAL DISSERTATION – –
No description BUILDING: \| ROOM:
BCS 997A DOCTORAL DISSERTATION IN ABSENTIA – –
No description BUILDING: \| ROOM:
BCS 999 DOCTORAL DISSERTATION – –
No description BUILDING: \| ROOM:
BCS 999A DOCTORAL DISSERTATION IN ABSENTIA – –
No description BUILDING: \| ROOM:
BCS 999B PHD IN-ABSENTIA ABROAD – –
No description BUILDING: \| ROOM: